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Passively Earn BTC/Sol/Anthropic for Using Claude Code
Hacker NewsPassively Earn BTC/Sol/Anthropic for Using Claude Code
Hey guys, I built this platform out to allow users to passively earn crypto for non-intrusive highly targetted ads. One of the things that's awesome is that there's an option to receive payouts in Anthropic's pre-IPO stock (via PreStocks on Solana). So you can use Claude Code and receive Anthropic stock . Let me know what you guys think. Feedback is welcome and please give it a try to install.
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6points
Did not reach leaderboard
Launch Intel predictions
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: claude, user, using · Missing: mac, agents, macos67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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